• ative complication vs those that did not was -227 days (99% CI, -352 to -70 days) based on the final RSF model.

    These findings, while post hoc, support the hypothesis that random survival forests allow for an improved analytic approach for identifying factors predictive of graft failure and for obtaining adjusted graft survival estimates.…[Read more]

  • ative complication vs those that did not was -227 days (99% CI, -352 to -70 days) based on the final RSF model.

    These findings, while post hoc, support the hypothesis that random survival forests allow for an improved analytic approach for identifying factors predictive of graft failure and for obtaining adjusted graft survival estimates.…[Read more]

  • ative complication vs those that did not was -227 days (99% CI, -352 to -70 days) based on the final RSF model.

    These findings, while post hoc, support the hypothesis that random survival forests allow for an improved analytic approach for identifying factors predictive of graft failure and for obtaining adjusted graft survival estimates.…[Read more]

  • ative complication vs those that did not was -227 days (99% CI, -352 to -70 days) based on the final RSF model.

    These findings, while post hoc, support the hypothesis that random survival forests allow for an improved analytic approach for identifying factors predictive of graft failure and for obtaining adjusted graft survival estimates.…[Read more]

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